EE AN033 Camera Installation Considerations for LPR

EE AN033 Camera Installation Considerations for LPR

Eagle Eye Application Note - AN033 


Camera Installation Considerations for LPR/ANPR 


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This Application Note is intended for installers and technicians that will be performing LPR camera installations in conjunction with the Eagle Eye Cloud VMS and is intended to share best practices in regards to camera specifications and placement.


License Plate Recognition (LPR) or Automatic Number Plate Recognition is a technique by which the vehicle’s license plate data is extracted using camera and vision technology. Camera placement plays a key role in getting a high accuracy read and this Application Note outlines best practices for installation and configuration. 


License plate recognition systems work directly on the camera stream and the system does not use an external sensor to detect vehicles. Instead, the detection of vehicles and license plates, and license plate reads, are all done by AI models that run on a pipeline. 


Vehicle Detection


The detection of vehicles is done by an AI model as opposed to using an inductive loop, which is the common mode of operation for traditional LPR systems. 


License Plate Detection


Traditional LPR systems simply read all the characters that are seen on one image captured when the inductive loop determines the presence of a vehicle. This results in errors if the vehicle has other characters written on its body. Eagle Eye Networks uses an advanced AI model that is trained with millions of images to accurately identify the license plate and read only those characters, avoiding other characters present on the vehicle.




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